File size: 5,018 Bytes
1e321b4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 | #!/usr/bin/env python3
"""
CSV File Validator for Sourashtra Dictionary
This script checks all CSV files in a specified directory to ensure they have the expected number of fields per line.
If a line doesn't have the expected number of fields, it stops and prints that line.
Usage: python3 check_csv_files.py <csv_directory> [--fields FIELD_COUNT]
"""
import argparse
import csv
import os
import sys
from pathlib import Path
def check_csv_file(file_path, expected_fields):
"""
Check if a CSV file has exactly the expected number of fields per line.
Args:
file_path (Path): Path to the CSV file
expected_fields (int): Expected number of fields per line
Returns:
tuple: (is_valid, error_info) where error_info contains line number and content if invalid
"""
try:
with open(file_path, 'r', encoding='utf-8') as file:
csv_reader = csv.reader(file)
for line_num, row in enumerate(csv_reader, start=1):
# Skip empty lines
if not any(field.strip() for field in row):
continue
if len(row) != expected_fields:
return False, {
'line_number': line_num,
'field_count': len(row),
'expected_fields': expected_fields,
'line_content': ','.join(row),
'raw_line': file.readline() if hasattr(file, 'readline') else str(row)
}
return True, None
except Exception as e:
return False, {
'line_number': 0,
'field_count': 0,
'expected_fields': expected_fields,
'line_content': f"Error reading file: {str(e)}",
'raw_line': ''
}
def main():
"""Main function to check all CSV files in the specified directory."""
# Set up argument parser
parser = argparse.ArgumentParser(
description='Check CSV files for expected number of fields per line',
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog='''
Examples:
python3 check_csv_files.py csv/ # Check for 9 fields (default)
python3 check_csv_files.py csv/ --fields 5 # Check for 5 fields
python3 check_csv_files.py csv/ -f 3 # Check for 3 fields
python3 check_csv_files.py /path/to/csv/ --fields 7
'''
)
parser.add_argument('csv_directory',
help='Path to the directory containing CSV files to check')
parser.add_argument('--fields', '-f',
type=int,
default=9,
help='Expected number of fields per line (default: 9)')
args = parser.parse_args()
# Convert to Path object and resolve
csv_dir = Path(args.csv_directory).resolve()
expected_fields = args.fields
# Validate arguments
if expected_fields <= 0:
print(f"Error: Number of fields must be positive, got {expected_fields}")
sys.exit(1)
if not csv_dir.exists():
print(f"Error: CSV directory not found at {csv_dir}")
sys.exit(1)
if not csv_dir.is_dir():
print(f"Error: {csv_dir} is not a directory")
sys.exit(1)
print(f"Checking CSV files in: {csv_dir}")
print(f"Expected fields per line: {expected_fields}")
print("=" * 60)
# Get all CSV files
csv_files = sorted(csv_dir.glob('*.csv'))
if not csv_files:
print("No CSV files found in the directory.")
return
total_files = len(csv_files)
valid_files = 0
for csv_file in csv_files:
print(f"\nChecking: {csv_file.name}")
is_valid, error_info = check_csv_file(csv_file, expected_fields)
if is_valid:
print(f"✓ Valid - All lines have exactly {expected_fields} fields")
valid_files += 1
else:
print("✗ Invalid CSV file found!")
print(f"File: {csv_file.name}")
print(f"Line {error_info['line_number']}: Found {error_info['field_count']} fields instead of {error_info['expected_fields']}")
print(f"Line content: {error_info['line_content']}")
print("\nStopping validation as requested.")
# Print summary before exiting
print(f"\nSummary:")
print(f"Files checked: {csv_files.index(csv_file) + 1} out of {total_files}")
print(f"Valid files: {valid_files}")
print(f"Invalid files: 1 (stopped at first invalid file)")
sys.exit(1)
# All files are valid
print("\n" + "=" * 60)
print("✓ All CSV files are valid!")
print(f"Summary:")
print(f"Total files checked: {total_files}")
print(f"All files have exactly {expected_fields} fields per line.")
if __name__ == "__main__":
main()
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